Statistics based privacy-aware recommender systems make suggestions more powerful by extracting knowledge from the log of social contacts interactions, but unfortunately, they are static-moreover, advice from local experts effective in finding specific business categories in a particular area. We propose a dynamic recommender algorithm based on a lazy random walk that recommends toprank shopping places to potentially interested visitors. We consider local authority and topical authority. The algorithm tested on FourSquare shopping data sets of 5 cities in Indonesia with k-steps={5,7,9} (lazy) random walks and compared the results with other state-of-the-art ranking techniques. The results show that it can reach high score precisions (0.5, 0.37, and 0.26 respectively on p@1, p@3, and p@5 for k=5). The algorithm also shows scalability concerning execution time. The advantage of dynamicity is the database used to power the recommender system; no need to be very frequently updated to produce a good recommendation.

Permasalahan pokok yang dialami oleh Kelompok Tani Pangestu Rakyat Desa Barumanis dalam membangun usaha mikro produksi bubuk kopi mulai dari permasalahan pengemasan hingga pemasaran produk “Pandu Coffee” telah berangsur terselesaikan. Sistem pengemasan dan pemasaran sudah serba bersentuhan dengan teknologi dan menyesuaikan dengan kemajuan era digital. Program pengabdian masyarakat ini dilakukan dengan pendekatan partisipatif yang menerapkan setidaknya empat metode antara lain metode pendidikan, pelatihan, subtitusi dan difusi IPTEKS. Metode pendekatan teori dan praktek meliputi pendampingan pengetahuan TIK untuk meningkatkan kemampuan dalam merancang, mambuat dan menerapkan kemasan produk dan e-commerce sebagai instrumen pemasaran dan penjualan secara online. Hasil yang dicapai bersama mitra antara lain pembaruan wujud kemasan produk kopi dan terciptanya sistem pemasaran produk yang dilakukan secara online seperti media sosial (Gmail, facebook, Instagram, dan youtube) dan website. Produk Pandu Coffee saat ini berangsur semakin dikenal banyak orang yang ditandai dengan bertambahnya jumlah pengunjung yang mengunjungi media sosial dan website Pandu Coffee. Calon pelanggan dapat memesan produk melalui Shoppee dan Tokko.io sebagai marketplacenya. Setelah menerapkan e-commerce, penjualan produk mitra meningkat signifikan, yaitu menjual 500 bungkus (125 Kg) dan menghasilkan laba hingga Rp. 5.000.000,- hanya selama 2 bulan. Perbaikan kemasan dan penerapan e-commerce pada produk mitra dinilai efektif untuk menambah pendapatan mitra. Kata kunci: kemasan, e-commerce, Pandu Coffee, Kelompok Tani Pangestu Rakyat, Barumanis

Embedded technology in education management is one of the most important things as an aid for Education Department. Not only help in learning process, the use of technology has been also used in many part of education to improve learning process. In this paper, we proposed the idea of mapping the digitation of High School (SMA) in Bengkulu city to manage the teacher distribution. The technology is based on mobile and web to see the mapping and comparison between subject among Senior High School in Bengkulu city. The system has been tested by using black box method that showed 100% right in quantity result and gaining 86.8% in user satisfaction. Social science ratio for Geography:Sociology:Economy are in 24:31:69, while the ratio in science for Physics:Biology:Chemistry are in 16:26:23. Furthermore, this research can be extended to map the teacher distribution for all school in Bengkulu city to improve the process of education management. This data can also be used for another research such as informatics to retrieve the knowledge inside the data by using machine learning algorithm.

The level of literacy in Indonesian is very low. Science literacy becomes very important for students to have as provisions to face the challenges of 21st-century development, including learning, innovating, critical thinking, problem-solving, creative, communication, and collaboration. Information, media, and technology literacy are becoming very important. The purpose of this activity can improve (1) teacher understanding of ICT media for literacy learning,(2) students' knowledge about animal conservation using ICT-based literacy media, and (3) student responses about ICT-based literacy media. The target audiences are (1) teacher, and (2) grade IV A and B students from State Elementary School Number 07 in Bengkulu City. The activity was carried out on the thematic learning theme 3 Caring for Living Things, Subtheme 2 Diversity of Living Things in My Environment using the ICT Based Project Based Learning model. The methods used: presentations, Focus Group Discussion, simulations and demonstrations, and classroom learning practices. The instruments used a teacher questionnaire, student responses, and essay questions. The conclusions obtained: (1) the percentage for teacher understanding of ICT literacy is still low, about 54.55%, (2) students with good categories about animal life knowledge by 93.1%, and (3) student interest on ICT learning increase about 84.62%. Suggestions given to support the successful implementation for the literacy program in elementary schools, are: (1) teachers should be able to use ICT-based learning media both on-line and off-line; (2) teachers design an assessment of students' high-level thinking knowledge.

Forest fires are still one of the most common problems in Indonesia. In fact, many of these forest fires origin from human activities, namely fires that are intentionally raised for a purpose such as widening the land to prepare for the planting season in the Nusa Tenggara Island. Forest fire events can be identified by observing hotspot data which are monitored through remote sensing satellites. Hotspot is an area that has a relatively higher surface temperature than the surrounding area based on certain temperature thresholds monitored by remote sensing satellites. The area is represented as a point that has certain coordinates. The actual fires can be monitored by observing the hotspot attribute, namely Confidence, Brightness Temperature and FRP (Fire Radiate Power). To find the similarities of the three mentioned attributes, the clustering process is carried out to make monitoring easier. The objective of this research is to cluster hotspots in the Nusa Tenggara and Bali Islands from year 2013 to 2018 using the K-Means Clustering Method with 28,519 hot spot data. This could be a benefit for the Ministry of Environment and Forestry in Indonesia to identify the priority level of the area to be monitored. By knowing  this result, the ministry can use this data for patrol priority management. This research successfully clustered three types of hotspot classes based on the risk of fire with details as follow; High Risk Class contains 12,212 data with ranges of mean values of confidence in the range of 49.3–100%, brightness in the range of 305.1–421.3o K and FRP in the range of 2.5–714.3; Medium Risk contains 12,250 data mean values of confidence  with a range of 20.3–74.3%, brightness in the range of 301.06–341.86o K and FRP in the range of 3.6–141.4; and Low Risk contains 4,057 data with a range of mean values of confidence in the range of 0–39.8%, brightness in the range of 300–365.86oK and FRP in the range of 3.5–275.6. All of the clusters were obtained by the implementation of K-Means clustering over the hotspot data and its parameter as mentioned, respectively. The cluster performance showed the confidential value of 88.45% accuracy using 100 hotspot data from 2019